What
is R Programming?
R is a
programming language and free software environment for statistical computing
and graphics, developed by Ross Ihaka and Robert Gentleman in 1993. The R
language is widely used among data miners and statisticians for developing
statistical software and data analysis.
It
includes machine learning algorithms, linear regression, time series,
statistical inference to name a few. Most of the libraries are written in R,
but for the heavy computational task, C codes are preferred. R is not only
preferred by academics, but many large companies also use R programming language,
including Facebook, Google Uber and so on.
Data
analysis with R is done in a sequence of steps;
Program:
R is a clear and accessible programming tool.
Transform:
R is made up of a collection of libraries specially designed for data science.
Discover:
This involves investigation of the data, refine your hypothesis and analyze
them.
Model:
R provides a wide range of tools to conquer the right model for your data.
Communicate:
Integrate codes, graphs, and outputs to a report with R markdown or create
shiny apps to share with the world.
R is
used for Statistical inference, data analysis, and machine learning algorithms.
It is used in the healthcare industry and academics.
Easy guide to R Programming
Detail
analysis like clustering, correlation, and data reduction are done with R.
The
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